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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Enhancing Selection Hyper-Heuristics via Feature Transformations
Iván Amaya, José Carlos Ortíz-Bayliss, Alejandro Rosales-Pérez, et al.
IEEE Computational Intelligence Magazine (2018) Vol. 13, Iss. 2, pp. 30-41
Open Access | Times Cited: 21

Showing 21 citing articles:

A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems
Melissa Sanchez, Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, et al.
IEEE Access (2020) Vol. 8, pp. 128068-128095
Open Access | Times Cited: 59
Hyper-Heuristics to customise metaheuristics for continuous optimisation
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
Swarm and Evolutionary Computation (2021) Vol. 66, pp. 100935-100935
Closed Access | Times Cited: 50
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation
Jorge M. Cruz‐Duarte, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 21
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems
José M. Tapia-Avitia, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101616-101616
Closed Access | Times Cited: 1
Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances
Iván Amaya, José Carlos Ortíz-Bayliss, Santiago Enrique Conant-Pablos, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 1790-1797
Closed Access | Times Cited: 15
A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem
Xavier Sánchez-Díaz, José Carlos Ortíz-Bayliss, Iván Amaya, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10209-10209
Open Access | Times Cited: 9
A General Framework Based on Machine Learning for Algorithm Selection in Constraint Satisfaction Problems
José Carlos Ortíz-Bayliss, Iván Amaya, Jorge M. Cruz‐Duarte, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2749-2749
Open Access | Times Cited: 7
Sequence-Based Selection Hyper-Heuristic Model via MAP-Elites
Melissa Sanchez, Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, et al.
IEEE Access (2021) Vol. 9, pp. 116500-116527
Open Access | Times Cited: 7
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems
José M. Tapia-Avitia, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Closed Access | Times Cited: 5
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems
Fernando Garza-Santisteban, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2019), pp. 1708-1715
Closed Access | Times Cited: 6
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem
Xavier Sánchez-Díaz, José Carlos Ortíz-Bayliss, Iván Amaya, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 6
A Sequence-Based Hyper-Heuristic for Traveling Thieves
D. Rodrı́guez, Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 56-56
Open Access | Times Cited: 4
Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem
Fernando Garza-Santisteban, Iván Amaya, Jorge M. Cruz‐Duarte, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 5
Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance?
Fernando Garza-Santisteban, Jorge M. Cruz‐Duarte, Iván Amaya, et al.
Journal of Scheduling (2024)
Closed Access
A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem
Frumen Olivas, Iván Amaya, José Carlos Ortíz-Bayliss, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Closed Access | Times Cited: 4
Hyper-Heuristics Meet Controller Design: Improving Electrical Grid Performance through Microgrids
Gerardo Humberto Valencia-Rivera, José Carlos Ortíz-Bayliss, Jorge M. Cruz‐Duarte, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2023), pp. 1-8
Closed Access | Times Cited: 1
MatHH: A Matlab-based Hyper-Heuristic framework
Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, Iván Amaya
SoftwareX (2022) Vol. 18, pp. 101047-101047
Open Access | Times Cited: 2
A discrete collaborative swarm optimizer for resource scheduling problem in mobile cellular networks
Bei Dong, Yuping Su, Yun Zhou, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 17, pp. 12319-12329
Closed Access | Times Cited: 2
Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment
Deepak Karunakaran
(2019)
Open Access | Times Cited: 1
Coordinative Hyper-heuristic Resource Scheduling in Mobile Cellular Networks
Bei Dong, Yuping Su, Yun Zhou, et al.
Communications in computer and information science (2020), pp. 132-143
Closed Access | Times Cited: 1
Active Learning Methods for Dynamic Job Shop Scheduling using Genetic Programming under Uncertain Environment
Deepak Karunakaran
(2019)
Open Access | Times Cited: 1
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